# Sensor Data Requirements ParaDigMa is designed for analysis of wrist-worn sensor data collected during passive monitoring in persons with Parkinson's disease. This guide specifies the sensor and data requirements for each pipeline. ## General Requirements All pipelines require data from a wrist-worn sensor with: - **Sensor Position**: Either wrist (left or right) - **Population**: Persons with Parkinson's disease - **Data Quality**: Strictly increasing timestamps - **Orientation**: Standardized coordinate system (see [Coordinate System Guide](coordinate_system.md)) ## Pipeline-Specific Requirements ### Arm Swing during Gait #### Sensor Specifications | Specification | Minimum Requirement | |---------------|-------------------| | **Accelerometer** | Sampling rate ≥ 100 Hz
Range ≥ ± 4 g | | **Gyroscope** | Sampling rate ≥ 100 Hz
Range ≥ ± 1000 degrees/sec | #### Physical Units - **Accelerometer**: `g` (gravitational force) - **Gyroscope**: `deg/s` (degrees per second) > ParaDigMa has functionalities for converting [accelerometer](https://biomarkersparkinson.github.io/paradigma/autoapi/paradigma/util/index.html#paradigma.util.convert_units_accelerometer) and [gyroscope](https://biomarkersparkinson.github.io/paradigma/autoapi/paradigma/util/index.html#paradigma.util.convert_units_gyroscope) in other units (e.g., `m/s^2`, `rad/s`) to these standard units. This can also be setup when using `run_paradigma`. #### Data Compliance For reliable weekly measures: - **Minimum 3 compliant days** with ≥10 hours of data between 8 am and 10 pm - **At least 2 minutes** of arm swing activity per week #### Population Constraints - No walking aid usage - No severe dyskinesia in the watch-sided arm #### Required Parameters - `watch_side`: Must specify `'left'` or `'right'` --- ### Tremor #### Sensor Specifications | Specification | Minimum Requirement | |---------------|-------------------| | **Gyroscope** | Sampling rate ≥ 100 Hz
Range ≥ ± 1000 degrees/sec | #### Physical Units - **Gyroscope**: `deg/s` (degrees per second) > ParaDigMa has functionalities for converting [gyroscope](https://biomarkersparkinson.github.io/paradigma/autoapi/paradigma/util/index.html#paradigma.util.convert_units_gyroscope) in other units (e.g., `rad/s`) to these standard units. This can also be setup when using `run_paradigma`. #### Data Compliance For reliable weekly measures: - **Minimum 3 compliant days** with ≥10 hours of data between 8 am and 10 pm --- ### Pulse Rate #### Sensor Specifications | Specification | Minimum Requirement | |---------------|-------------------| | **PPG (Photoplethysmography)** | Sampling rate ≥ 30 Hz
Green LED wavelength | | **Accelerometer** (optional) | Sampling rate ≥ 100 Hz
Range ≥ ± 4 g
*(for motion artifact detection)* | #### Physical Units - **PPG**: Blood volume pulse in arbitrary units (device-dependent) - **Accelerometer**: `g` (gravitational force) - if used for motion detection #### Data Compliance For reliable weekly measures: - **Minimum 12 hours** of data per day on average #### Population Constraints - No cardiac rhythm disorders (e.g., atrial fibrillation, atrial flutter) #### Important Notes > **Device-Specific Adaptation**: The PPG processing pipeline is currently validated with the blood volume pulse (BVP) signal from the Verily Study Watch. To use PPG data from other devices, see the [Pulse Rate Analysis Tutorial](../tutorials/_static/pulse_rate_analysis.html#step-3-signal-quality-classification) for signal adaptation guidance. > **Cannot Combine with Other Pipelines**: The pulse rate pipeline requires different sensor data (PPG) than gait/tremor (IMU) and must be run separately. --- ## Multi-Pipeline Processing ParaDigMa supports running compatible pipelines together: ```python from paradigma.orchestrator import run_paradigma # Gait and tremor can run together (both use IMU data) results = run_paradigma( dfs=df, pipelines=['gait', 'tremor'], watch_side='left' ) ``` ### Pipeline Compatibility Matrix | Pipeline Combination | Compatible | Reason | |---------------------|:----------:|---------| | Gait + Tremor | ✓ | Both use IMU sensors (accelerometer + gyroscope) | | Gait + Pulse Rate | ✗ | Different sensor types (IMU vs PPG) | | Tremor + Pulse Rate | ✗ | Different sensor types (IMU vs PPG) | | Gait + Tremor + Pulse Rate | ✗ | Cannot mix IMU and PPG pipelines | --- ## Important Notes on Validation > [!NOTE] > The specifications above represent **minimally validated requirements**. For example, while ParaDigMa works with accelerometer and gyroscope data sampled at 50 Hz, the effect on processing accuracy has not been empirically validated. **Higher sampling rates and sensor ranges generally improve accuracy.** ---